Test 1126 - 280 Users in .NET

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Test 1126 - 280 Users
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Increasing the load a little more, the Grinders are set to execute on the 4 machines with 2 JVMs each with 35 threads The results are: Test 1126 url0 urll url2 url3 url4 url5 url6 url7 url8 Total ART 21,46 1326 12200 27253 34943 46273 46355 33525 25991 230011 TPS 4659 7542 820 367 286 216 216 298 385 043
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The response time is roughly double than the previous run It seems that we are starting to reach some limits The CPU chart of Grace shows that the peaks at 100% are lengthy on each cycle, as shown here:
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The CPU usage of Maria slightiy increases with in the expected pattern, and the WebLogic console shows that the garbage collector kicks in twice during the run The execution threads are keeping busy at an average of 70 tasks per second and there are substantially more instances of the JDBC connections: the peak number of simultaneous connections is 15
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Test 1127 - 320 Users
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This test is prepared by sening the Grinders to run on the 4 machines, each with 4 JVMs and 20 threads This run produced a number of errors of the kind:
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<W> <ListenThread> Connection rejected: 'Login timed out after: '15000' ms on socket; 'Socket[addr=GRINDERB/10 2 1 6 3 , port=4094,localport=7001]''
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Obviously a limit had been reached, where the connections were timing out after 15 seconds In an effort to improve this, the number of execution threads was increased to 30 and the test was ran again During the second run 15 newJDBC connections were added to the pool, and a large number of errors like that shown above were produced It seemed that changing the number of execute threads did not have any effect on the execution and that a hard limit had been reached Looking at the CPU usage chart of Grace shown below you can see how saturated the system is
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Grinding the Pizzas
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Conclusion
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It is interesting to go through the experience of steadily increasing the load on the application and learning how it behaves The two charts presented beneath show how the response time increases as the load increases and how the TPS decreases as the load increases In analyzing these charts it seems that il would be safe to run the application with up to 240 simultaneous users We know that the system can handle 280 users pretty well, but anything beyond that has a high potential to create problems The recommendation would be that this application runs on the tested hardware and operating system with an average load of 240 and peak safely up to 280 users
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Testing the Stateless Session Beans
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This set of test runs will follow the same methodology as the tests in the previous section Here the troops will be testing the application developed in the first part of 4, which builds on the application developed on 3 The Oracle stored procedures have been replaced by stateless session beans As the troops do not know how the EJBs will behave, they decide that they will increase the number of execute threads from 15 to 45 for this set of tests After seeing the efficient way the J\ M handles memory they feel confident that this will not have a negative impact on the performance
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Test 1131 - 60 Users
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To keep in step with the previous set of runs, here the tests start with 60 users Because the use of the JDBC connections was so efficient in the last set of test, the troops decide to decrease the initial size of the connection pool to 5 connections The results are the following: Test 1131 url0 urll url2 url3 url4 url5 url6 url7 url8 url9 Total
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